Analyzing planning and monitoring skills of users in a multi-UAV simulation environment

Abstract

The study of Unmanned Aerial Vehicles (UAVs) is currently a growing area. The accelerated expansion of these technologies is demanding the work of more and more qualified operators, able to supervise and control multiple UAVs at the same time. Unfortunately, the training process for this type of systems is still unstructured, and it is needed to define methods to assess and classify operators in the context of a specific skill, for both novice users and experts. This work is focused on analyzing the planning and monitoring skills of inexperienced users in a multi-UAV simulation environment, through the use of a set of metrics capturing the performance of a user and defining its profile. The user profiles will be clustered to extract shared behavioral patterns that help us to decide the planning and monitoring level for each group of users, and to select potential operators.